Prof. Wenke Zang

Shandong Normal University, China

Research Area: Business Administration, Management Engineering, Intelligent Computing, Machine Learning, Data Mining

Brief introduction: Wenke Zang, Ph.D., Professor, and Doctoral Supervisor. Associate Dean of Meigu College and Chair of the Department of E-commerce at Shandong Normal University. Visiting Scholar at the McCoy College of Business Administration and the College of Sciences, University of Texas at San Antonio (UTSA) from 2015 to 2018. Expert Reviewer for Degree and Graduate Education at the Academic Degrees Center of the Ministry of Education. Senior Member of the China Computer Federation (CCF), Council Member of the Shandong Computer Society, and Council Member of the Computer Education Committee of the Shandong Higher Education Society. Recognized as a Shandong Provincial Science and Technology Expert and an Expert in Industrial and Information Technology of Shandong Province. Identified as a High-level Talent in Jinan City. Recipient of Shandong Normal University’s "Distinguished Young Scholar" Award and Excellent Graduate Supervisor Award. Leader of the university’s outstanding graduate mentoring team recognized under the "Five-Guidance" program.

Title: TBC

Prof. Pingping Fu

Suzhou City University, China

Research Area: Public Administration and Business Administration

Brief introduction: Professor, Ph.D., and Master' s Supervisor at the School of Digital Economy and Management. Ph.D. in Management Science and Engineering from Harbin Institute of Technology. Visiting Scholar at the University of North Carolina at Chapel Hill, USA.

In recent years, has published over 20 papers indexed by SSCI, SCI, EI, and CSSCI. Has supervised more than 30 graduates in Public Administration, Business Administration, and MBA programs.

Title: TBC

Prof. Xiongfeng Pan

Dalian University of Technology, China

Research Area: Regional innovation system, spatial economics and energy economics

Brief introduction: Pan Xiongfeng, with a PhD in Management, is currently a professor and doctoral supervisor at the School of Economics and Management, Dalian University of Technology. He has been selected as one of the "Highly Cited Scholars in China" by Elsevier, ranked among the top 2% of scientists worldwide (released by the Stanford University team), and serves as the deputy editor in chief of the SSCI journal "International Journal of Climate Change Strategies and Management". He is an innovative talent in higher education institutions in Liaoning Province and a scarce talent in local urban development in Dalian. He has led over 50 research projects funded by the National Natural Science Foundation, National Social Science Foundation, Ministry of Education Doctoral Program Fund, and Ministry of Education Humanities and Social Sciences Fund, and has published more than 100 papers in both Chinese and English.

Title: The influencing mechanism of population aging and sub-replacement fertility on carbon efficiency：an empirical analysis based European Economic Area

Abstract: Europe is trapping in serious population aging and sub-replacement fertility condition nowadays, and facing challenges in the aspect of economic growth and carbon emissions. Aging rate and fertility rate prove to be connected with economic growth and carbon emissions, though the relationship is debatable. Related research has rarely focused on carbon efficiency, and ignored the spatial relationship and specific mechanism between aging rate, fertility rate and carbon efficiency. Thus, this paper studies the influence mechanism of aging and fertility rate on carbon efficiency from two perspectives: population flow and technological innovation. The dynamic spatial Durbin model combined with multi-level and multivariate mediation analysis is used to test the data of 29 countries in the European Economic Area from 1998 to 2021. The results show: 1) The effects of both aging rate and fertility rate on carbon efficiency are nonlinear (U-shaped); 2) Technological innovation, immigration and emigration are the mediators of the relationship between aging rate, fertility rate and carbon efficiency, and there are 2 paths; 3) Carbon efficiency, technological innovation, immigration and emigration have snowball and spillover effects that the situation of previous period will significantly affect the performance of the next period, and that of a local region will promote the performance of adjacent countries. The results refresh the EKC theory, and helps policymakers develop feasible policies to achieve the goals in the 2030 Agenda for Sustainable Development and Paris Agreement.